Evidence map›Paper›PMID 22875744›Full record

ArticleBreast cancer research and treatment2012

Cross-platform pathway-based analysis identifies markers of response to the PARP inhibitor olaparib.

Anneleen Daemen, Denise M Wolf, James E Korkola, Obi L Griffith, Jessica R Frankum, Rachel Brough, Lakshmi R Jakkula, Nicholas J Wang, Rachael Natrajan, Jorge S Reis-Filho and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 74 citations in OpenAlex.

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  5. Hormone Receptor-Positive HER2-Negative/MammaPrint High-2 Breast Cancers Closely Resemble Triple-Negative Breast Cancers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 2 countries.

Anneleen DaemenLaboratory Medicine, University of California San Francisco, 2340 Sutter Street Box 0808, San Francisco, CA 94115, USA. anneleen.daemen@gmail.com
Denise M Wolf
James E Korkola
Obi L Griffith
Jessica R Frankum
Rachel Brough
Lakshmi R Jakkula
Nicholas J Wang
Rachael Natrajan
Jorge S Reis-Filho
Christopher J Lord
Alan Ashworth
Paul T Spellman
Joe W Gray
Laura J van't Veer
Lawrence Berkeley National Laboratory · USInstitute of Cancer Research · GBBreast Cancer Now · GBUniversity of California, San Francisco · USOregon Health & Science University · USSutter Health · US

Funding

Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAY, JOE W. · 1992 to 2012
$32.7M
Systems-Based Predictions of Responses to Cancer TherapyU54CA112970 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI GRAY, JOE W. · 2004 to 2014
$27.1M
Breast Cancer Now BREAST CANCER NOW RESEARCH CENTRENCI NIH HHS P50 CA058207NCI NIH HHS P50 CA 58207NCI NIH HHS U54 CA112970
6 · The paper itself

Abstract

Poly(ADP-ribose) polymerase (PARP) is an enzyme involved in DNA repair. PARP inhibitors can act as chemosensitizers, or operate on the principle of synthetic lethality when used as single agent. Clinical trials have shown drugs in this class to be promising for BRCA mutation carriers. We postulated that inability to demonstrate response in non-BRCA carriers in which BRCA is inactivated by other mechanisms or with deficiency in homologous recombination for DNA repair is due to lack of molecular markers that define a responding subpopulation. We identified candidate markers for this purpose for olaparib (AstraZeneca) by measuring inhibitory effects of nine concentrations of olaparib in 22 breast cancer cell lines and identifying features in transcriptional and genome copy number profiles that were significantly correlated with response. We emphasized in this discovery process genes involved in DNA repair. We found that the cell lines that were sensitive to olaparib had a significant lower copy number of BRCA1 compared to the resistant cell lines (p value 0.012). In addition, we discovered seven genes from DNA repair pathways whose transcriptional levels were associated with response. These included five genes (BRCA1, MRE11A, NBS1, TDG, and XPA) whose transcript levels were associated with resistance and two genes (CHEK2 and MK2) whose transcript levels were associated with sensitivity. We developed an algorithm to predict response using the seven-gene transcription levels and applied it to 1,846 invasive breast cancer samples from 8 U133A/plus 2 (Affymetrix) data sets and found that 8-21 % of patients would be predicted to be responsive to olaparib. A similar response frequency was predicted in 536 samples analyzed on an Agilent platform. Importantly, tumors predicted to respond were enriched in basal subtype tumors. Our studies support clinical evaluation of the utility of our seven-gene signature as a predictor of response to olaparib.

Indexed as

Poly(ADP-ribose) Polymerase InhibitorsAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsCell Line, TumorCell SurvivalDNA RepairDrug Evaluation, PreclinicalDrug Resistance, NeoplasmFemaleGene ExpressionHumansInhibitory Concentration 50Neoplasms, Basal CellPhthalazinesPiperazinesAntineoplastic AgentsBiomarkers, TumorolaparibPARP1 protein, humanPhthalazinesPiperazinesPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase Inhibitors

Identifiers

PMID22875744
PMCPMC3429780
OpenAlexW2022309076

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.